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Non parametric, repeated-measures, factorial ANOVA

3 messages · Jim Lemon, RobH2011

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Hi

I have data from an experiment that used a repeated-measures factorial 2x2
design (i.e. each participant contributed data to both levels of both
factors). I need a non-parametric version of the repeated-measures factorial
ANOVA to analyse the data. SPSS only has non-parametric tests for one-way
ANOVAs but I have been told that the test I need can be implemented using
the R software.

Unfortunantly I haven't been able to work out how to do this test in R. I've
got the Wilcox book 'Robust Estimation and Hypothesis testing' but to be
honest I don't have enough of a background in stats to understand a great
deal of it, and I wasn't able to work out how to do the test I want. Can
anyone let me know how I can do such a test in R? I presume this is a test
that people frequently need to use and that there will be some code already
written that can implement the test.

Thanks
Rob

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On 11/29/2011 10:31 PM, RobH2011 wrote:
Hi Rob,
The nparLD package, based on the work of Professor Brunner, might do 
what you want.

Jim
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Hi

Thanks for your reply. The package appears to be for the analysis of
longitudinal designs, and requires a time factor to be input on the relevant
. My experiment is just a standard repeated-measures design, and I just need
a direct, non-parametricc equivalent of the Factorial repeated-measures
ANOVA.

It occurs to me that the terminology I am using might be a problem - when I
say repeated measures I mean that it is a within subjects design, so that
each subject does each condition, counterbalanced so that order/time effects
are not an issue.

Thanks
Rob

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